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  • H33S: Monitoring, Prediction, and Mitigation of Harmful Algal Blooms (HABs) II Poster
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Primary Convener:
Ebrahim Ahmadisharaf, Florida State University

Convener:
Sven Kranz, Rice University
Xiuming Sun, Florida State University
Mark Rains, University of South Florida

Early Career Convener:
Sumon Hossain Rabby, Florida State University

Chair:
Ebrahim Ahmadisharaf, Florida A&M University-Florida State University College of Engineering
Xiuming Sun, FAMU-FSU College of Engineering
Mark Rains, University of South Florida

Harmful Algal Blooms (HABs) are growing environmental concerns as they impact water quality, ecosystem health, and economy. There is a need to understand the underlying mechanisms, implment predictive models and develop effective mitigation strategies. This session aims to bring together research efforts that interpret the mechanisms driving HABs, innovative monitoring techniques, prediction models and effective mitigation strategies. Example foci are: (1) ecological mechanisms on the biogeochemical and physical drivers of HAB occurrence, development and decline in freshwaters and marine/coatstal waterbodies; (2) advances in monitoring HABs (e.g., remote sensing, in-situ and/or citizen science);(3) modeling the occurrence and intensity of HABs using statistical, process-based and machine learning models;(4) impacts of nonstaionary environment (e.g., climate and land cover change and ocean acidification) on HABs;(5) public health and economic impacts of HABs;(6) mitigation, decision-making and management approaches to prevent HABs, including nutrient load reduction and biological controls.

Index Terms
1804 Catchment
1813 Eco-hydrology
1871 Surface water quality
1879 Watershed

Suggested Itineraries:
Disasters‚ Calamities and Extreme Events
Gulf Coast Region
Biochemistry
Machine Learning and AI

Co-Organized Sessions:
Global Environmental Change

Neighborhoods:
3. Earth Covering

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